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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Context-Aware Activity Recognition Systems
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,215 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,215 works in the cohort · of 4,299,418page 20 of 25

Labels cover 1 of 1,215 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,215 of 1,215 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Context Aware Sequence Modeling
Kyungwoo Song
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Human Activity Recognition from Multimodal Data
Pengyin Chen, Arial Qin, Junhao Lu
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Context-Aware Systems
Yu‐Ling Chang, Paulo Alencar, Eduardo S. Barrenechea, Rolando Blanco, Donald Cowan
2012· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Health Monitoring with Earables: A Survey
Jincheng Li, Yuhan Zhao, Shuai Tong, Lin Wang, Jiliang Wang
2025· article· en· ACM Transactions on Internet of Things· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fall Risk Detection in Computer Vision
Yen-Hung Liu, Patrick C. K. Hung
2023· book-chapter· en· Encyclopedia of Computer Graphics and Games· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Context Adaptable Application
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Keystone for Smart Communities—Smart Households
Pedro Ponce, Therese Peffer, Juana Isabel Méndez, Ursula Eicker, Arturo Molina, Troy McDaniel +4 more
2023· book-chapter· en· Studies in big data· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Do-It-Yourself Approach to Ambient Assisted Living
Sylvain Giroux, Hubert Kenfack Ngankam, Corentin Haidon, Hélène Pigot
2025· book-chapter· en· Lecture notes in networks and systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About